The table below provides summary statistics and salary benchmarking for jobs advertised in Bolton requiring Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 20 October 2025, with comparisons to the same periods in the previous two years.
Machine Learning falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Bolton.
Permanent vacancies with a requirement for process or methodology skills
68
98
49
As % of all permanent jobs advertised in Bolton
73.91%
79.67%
98.00%
Number of salaries quoted
49
55
37
10th Percentile
£32,200
£25,317
£28,900
25th Percentile
£33,250
£30,000
£29,500
Median annual salary (50th Percentile)
£45,000
£42,500
£42,500
Median % change year-on-year
+5.88%
-
-10.53%
75th Percentile
£50,000
£56,250
£50,000
90th Percentile
£69,500
£70,900
£64,150
Manchester median annual salary
£51,000
£55,000
£60,000
% change year-on-year
-7.27%
-8.33%
+9.09%
Machine Learning Job Vacancy Trend in Bolton
Historical trend showing the proportion of permanent IT job postings citing Machine Learning relative to all permanent IT jobs advertised in Bolton.
Machine Learning Salary Trend in Bolton
Salary distribution trend for jobs in Bolton citing Machine Learning.
Machine Learning Top 22 Co-Occurring Skills & Capabilities in Bolton
For the 6 months to 20 October 2025, job vacancies citing Machine Learning also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Bolton region with a requirement for Machine Learning.
Machine Learning Co-Occurring Skills & Capabilities in Bolton by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
